OHDSI/Vocabulary-v5.0
Jan 2025 – Jul 2025
3 Months active
Languages Used
SQL
Technical Skills
Data ModelingDatabase ManagementSQL DevelopmentSQL ScriptingDatabaseSQL
mikita_salavei
PROFILE
Mikita_salavei
Mikita Salavei contributed to the OHDSI/Vocabulary-v5.0 repository by engineering MedDRA data refresh enhancements and refining mapping accuracy between MedDRA and SNOMED vocabularies. Using SQL and database management skills, Mikita developed scripts to improve environment mappings, reduce data duplication, and enable more robust manual review workflows. He addressed hierarchical discrepancies by introducing flag-based checks and improved exclusion criteria for measurement codes, ensuring only appropriate concepts were mapped. His work focused on data modeling and analysis, resulting in higher data quality, more consistent query results, and streamlined validation cycles. These changes supported more reliable downstream analytics and vocabulary integrity.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
280
Activity Months3
Your Network
165 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for OHDSI/Vocabulary-v5.0: Delivered MedDRA data refresh enhancements and discrepancy validation with new SQL scripts to refresh data, identify non-standard concepts, and analyze hierarchical discrepancies between MedDRA and SNOMED. Introduced a flag-based check to detect hierarchical LLT-PT discrepancies and refine discrepancy reporting. The work improved data quality, cross-vocabulary alignment, and set the stage for automated discrepancy analytics.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for OHDSI/Vocabulary-v5.0: Delivered MedDRA data refresh enhancements and discrepancy validation with new SQL scripts to refresh data, identify non-standard concepts, and analyze hierarchical discrepancies between MedDRA and SNOMED. Introduced a flag-based check to detect hierarchical LLT-PT discrepancies and refine discrepancy reporting. The work improved data quality, cross-vocabulary alignment, and set the stage for automated discrepancy analytics.
July 2025
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for OHDSI/Vocabulary-v5.0 focusing on data quality and mapping accuracy improvements. A single, critical bug fix was completed to refine exclusion criteria in the MedDRA to SNOMED/OMOP Extension mappings, improving correctness for measurement codes and specific concept IDs. The change enhances downstream analytics reliability and vocabulary integrity with minimal risk to existing mappings.
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for OHDSI/Vocabulary-v5.0 focusing on data quality and mapping accuracy improvements. A single, critical bug fix was completed to refine exclusion criteria in the MedDRA to SNOMED/OMOP Extension mappings, improving correctness for measurement codes and specific concept IDs. The change enhances downstream analytics reliability and vocabulary integrity with minimal risk to existing mappings.
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025: Delivered significant MedDRA refresh enhancements for OHDSI/Vocabulary-v5.0, focusing on data quality, environment mappings, and more reliable manual review workflows. The work strengthens data accuracy for downstream analytics and supports faster validation cycles.
5 Commits • 1 Features
Jan 1, 2025January 2025: Delivered significant MedDRA refresh enhancements for OHDSI/Vocabulary-v5.0, focusing on data quality, environment mappings, and more reliable manual review workflows. The work strengthens data accuracy for downstream analytics and supports faster validation cycles.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture72.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQL
Technical Skills
Data AnalysisData ModelingDatabaseDatabase ManagementSQLSQL DevelopmentSQL Scripting
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